计算机应用与软件2024，Vol.41Issue(11)：335-340,6.DOI:10.3969/j.issn.1000-386x.2024.11.046
基于统计模型的麦克风阵列语音增强算法
MICROPHONE ARRAY SPEECH ENHANCEMENT ALGORITHM BASED ON STATISTICAL MODELS
摘要
Abstract
This paper presents a microphone array speech enhancement algorithm based on statistical models.In order to estimate the magnitude-squared spectrum(MSS)of the first channel speech signal,it was assumed that the real part and imaginary part of the first channel speech signal spectrum were independent of each other and obeyed the Gaussian distribution with the same variance.The posterior probability of the MSS of the first channel speech signal was calculated by using the Bayesian formula,and the minimum mean square error(MMSE)estimation of the MSS of the first channel speech signal was obtained by using the mathematical expectation formula,and finally the spectrum angle of the first channel speech signal was estimated by using the spectrum angle of the first channel observed signal.The experimental results show that the proposed algorithm is superior to the three traditional speech enhancement algorithms.关键词
语音增强/最小均方误差估计/去噪性能Key words
Speech enhancement/Minimum mean square error estimation/Denoising performance分类
信息技术与安全科学引用本文复制引用
涂井先,冀占江,覃桂茳,蒲保兴..基于统计模型的麦克风阵列语音增强算法[J].计算机应用与软件,2024,41(11):335-340,6.基金项目
广西自然科学基金项目(2018JJB170034,2020JJA110021,2020GXNSFAA238013) （2018JJB170034,2020JJA110021,2020GXNSFAA238013）
梧州学院校级科研项目(2017B004). （2017B004）
